Algorithm Online Training
Needintech's Online Algorithm Course help you develop your ability to articulate problem-solving processes and to efficiently implement those processes within software. You'll learn how to create algorithms for searching, sorting, and optimization and then apply them to real-world problems.
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- A step-by-step procedure used to solve a problem or accomplish a goal is known as an algorithm. It’s a straightforward idea; for common activities like deciding whether to drive or take the train to work or figuring out what you need from the grocery store, you apply your own algorithms.
- Understanding and applying algorithmic problem-solving techniques is a crucial skill for solving complex computing problems, and studying this field necessitates more specialised prerequisites than some programming-focused computer science courses.
- Because algorithms are central to so many different types of computer programming work, professionals with this skill set can end up working in high-paying positions in a variety of companies. Experience with algorithms, for example, is required for work as a data scientist, one of the most in-demand jobs in technology.
- If you understand the fundamentals of computer science and how they apply to algorithmic processing, you may be able to determine whether algorithms are right for you. These fundamentals would include knowledge of computer architecture, data structures, math, and logic. These areas may yield insights into arrays, linked lists, binary trees, set theory, and linear equations.
- Algorithm-related topics to research include logistic regression, neural networks, data mining, automated financial trading, artificial intelligence, and quantum computing. These could be in addition to other heavy topics like deep learning, mathematical equations, and statistics. Knowing these can help you understand how algorithms and computers interact.
Syllabus of Algorithms Online Course
Module 1 : Preliminaries
- Introduction to algorithms
- Asymptotic notation
- Logarithms and more
More Module 2: Data Structures Module 3: Sorting Module 4 : Graph Algorithms Module 5 : Search Module 6 : Decomposition Module 7 : Spring Break Module 8 : Intractability
Module 2: Data Structures
Module 3: Sorting
Module 4 : Graph Algorithms
Module 5 : Search
Module 6 : Decomposition
Module 7 : Spring Break
Module 8 : Intractability